Research Article
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Year 2018, Volume: 2 Issue: 1, 1 - 10, 01.07.2018

Fatih Şahin

Abstract

Özet

Bu çalışmada büyük veri üzerine bilgi verilerek, bankacılık sektörünün büyük veri ile ilişkisine değinilip, sektördeki

büyük veri uygulama alanlarından bahsedilmektedir. Bankacılık sektörü yüksek hacimli ve çeşitli veri içeren, büyük

veri uygulamasına açık bir sektördür. Pazarlama için yüksek hızdaki sosyal medya verilerinden faydalanılması,

müşteri memnuniyeti ve çağrı merkezi verimliliği için çağrı merkezi görüşme kayıtlarının analizi, dolandırıcılık

tespiti, pazarlama öngörüleri ve operasyonel verimlilik için etkin veri ambarı yapısı, veri saklama çözümleri

ve denetim, video analitiği ile güvenlik ve müşteri tanıma bankacılıkta büyük veri teknolojilerinden yararlanabilecek

alanlar ve konulardır, bu çalışmada bu konular açıklanarak örneklendirilmekte ve elde edilebilecek kazanımlara

değinilmektedir.

Keywords

Bankacılık Büyük Veri Sosyal Medya Yapısal Olmayan Veri Veri Ambarı Dolandırıcılık Denetim

References

  • Setty, K., ve Bakhshi, R., “What Is Big Data and What Does It Have to Do With IT Audit?”, ISACA Journal, 3:23-25 (2013).
  • Sagiroglu, S., ve Sinanc, D., “Big data: A review”, 2013 International Conference on Collaboration Technologies and Systems (CTS), 42-47 (2013).
  • Jacobs, A., “The Pathologies of Big Data”, Data – ACM Queue, 7(6): 1-12 (2009).
  • Gündebahar, M. ve Kuş Khalilov, M. C., “XTM: An Alternative Delivery Channel in Turkish Banking Sector”, Elsevier Procedia - Social and Behavioral Sciences, 57:373-380 (2012).
  • Hilbert, M., ve Lopez, P., “The World’s Technological Capacity to Store, Communicate, and Compute Information”, Science, 332(6025):60-65 (2011).
  • (2013) What is big data?. [Online]. http://www-01.ibm.com/software/in/data/bigdata/
  • (2013). New Tweets per second record, and how!. [Online]. https://blog.twitter.com/2013/new-tweetsper- second-record-and-how
  • (2013), The Top 20 Valuable Facebook Statistics. [Online]. http://zephoria.com/social-media/top-15- valuable-facebook-statistics/
  • (2013), Website reportedly shows Internet activity; 1.67 million emails per second. [Online]. http://articles. latimes.com/2013/aug/12/business/la-fi-tn-internet-activity-every-second-20130812
  • Asadoorian, M. O., ve Kantarelis, D., “Essentials of Inferential Statistics”, University Press of America, 2 (2005).
  • Nelles, O., “Nonlinear System Identification”, Springer, 2011.
  • Dean, J., ve Ghemawat, S., “MapReduce: Simplied Data Processing on Large Clusters”, Google, Inc., (2004).
  • White, T., “Hadoop: The Definitive Guide”, 3rd Edition, O’Reilly Media / Yahoo Press, (2012).
  • Gutermen, J, “Release 2.0 Issue:11 Big Data”, O’Reilly Media, Inc., 27 (2009).
  • Yöntem, H. E., “Büyük Veri ile Analitik Uygulamalar”, IBM Connected 2013, (2013).
  • (2013), Facebook Statistics. [Online]. http://www.statisticbrain.com/facebook-statistics/
  • (2013), LinkedIn. [Online]. http://en.wikipedia.org/wiki/LinkedIn
  • (2013), Predicting & Preventing Banking Customer Churn by Unlocking Big Data. [Online]. http://www.ngdata.com/predicting-preventing-banking-customer-churn-by-unlocking-big-data/
  • (2013), Consumers want banks to use big data, just don’t access their social profile: Report. [Online]. http://www.cmo.com.au/article/465904/consumers_want_banks_use_big_data_just_don_t_access_ their_social_profile_report/ Demirel, Y., “Müşteri İlişkileri Yönetimi ve Bilgi Paylaşımı”, IQ Kültür Sanat Yayıncılık, 157 (2006).
  • (2013), Should Your Call Center Collect Big Data?. [Online]. http://www.servion.com/americas/news/shouldyour- call-center-collect-big-data-aug1-2013.pdf
  • (2013), How Zions Bank Is Conquering Big Data for Marketing Campaigns. [Online]. http://www.americanbanker. com/issues/178_135/how-zions-bank-is-conquering-big-data-for-marketing-campaigns-1060603-1.html
  • (2013), Leveraging Big Data to Revolutionize Fraud Detection. [Online]. http://www.banktech.com/riskmanagement/ leveraging-big-data-to-revolutionize-fra/240158275
  • Vacca, J. R., “Biometric Technologies and Verification Systems”, Butterworth-Heinemann, 181 (2007).
  • Traore, I., ve Ahmed, A. A. E., “Continuous Authentication Using Biometrics: Data, Models, and Metrics”, Igi Global, (2011).
  • (2013), Using Big Data to Prevent Fraud. [Online]. http://www.bankinfosecurity.com/big-datas-tie-tofraud- prevention-a-6251/op-1
  • “Smarter digital banking with big data”, IBM Software White Paper, (2013).
  • (2013), How Zions Bank Is Conquering Big Data for Marketing Campaigns. [Online]. http://www.americanbanker. com/issues/178_135/how-zions-bank-is-conquering-big-data-for-marketing-campaigns-1060603-1.html
  • (2013), The Newest Banking Game-Changer: Your Data. [Online]. http://www.banktech.com/business-intelligence/ the-newest-banking-game-changer-your-dat/240164638
  • Wallace, T., F., “Customer-Driven Strategy: Winning Through Operational Excellence”, John Wiley & Sons, (1992)
  • (2013), Putting Big Data Principles to Work in Audit & Compliance. [Online]. http://www.complianceweek. com/putting-big-data-principles-to-work-in-audit-compliance/article/285964/
  • (2013), 3 of Banking’s Most Unusual Analytics Deployments. [Online]. http://www.banktech.com/businessintelligence/ 3-of-bankings-most-unusual-analytics-dep/228300278

Big Data’s Implimentation Sample in Banking Sector/Bankacılık Sektöründe Büyük Verinin Uygulama Örneği

Year 2018, Volume: 2 Issue: 1, 1 - 10, 01.07.2018

Fatih Şahin

Abstract

Abstract

In this study as information given over Big Data, banking sector’s relation with big data is mentioned, big data

implemention areas in the sector is referred. Banking sector is a high volumed and involving diversified data, open

to big data implementation sector. Making use of high speed social media datas for marketing, analyzing of call

center conversation records for customer content and call center efficiency, detection of fraud, efficient data warehouse

structure for marketing predictions and operational efficiency, data storage solutions and audition, security

by video analytic and customer recognition are the fields and subjects that can make use of big data technologies.

In this study these subjects are exemplified by explaining and achievments that can be gained are mentioned.

Keywords

Banking Big Data Social Media Unstructural Data Data Warehouse Fraud Audition

References

  • Setty, K., ve Bakhshi, R., “What Is Big Data and What Does It Have to Do With IT Audit?”, ISACA Journal, 3:23-25 (2013).
  • Sagiroglu, S., ve Sinanc, D., “Big data: A review”, 2013 International Conference on Collaboration Technologies and Systems (CTS), 42-47 (2013).
  • Jacobs, A., “The Pathologies of Big Data”, Data – ACM Queue, 7(6): 1-12 (2009).
  • Gündebahar, M. ve Kuş Khalilov, M. C., “XTM: An Alternative Delivery Channel in Turkish Banking Sector”, Elsevier Procedia - Social and Behavioral Sciences, 57:373-380 (2012).
  • Hilbert, M., ve Lopez, P., “The World’s Technological Capacity to Store, Communicate, and Compute Information”, Science, 332(6025):60-65 (2011).
  • (2013) What is big data?. [Online]. http://www-01.ibm.com/software/in/data/bigdata/
  • (2013). New Tweets per second record, and how!. [Online]. https://blog.twitter.com/2013/new-tweetsper- second-record-and-how
  • (2013), The Top 20 Valuable Facebook Statistics. [Online]. http://zephoria.com/social-media/top-15- valuable-facebook-statistics/
  • (2013), Website reportedly shows Internet activity; 1.67 million emails per second. [Online]. http://articles. latimes.com/2013/aug/12/business/la-fi-tn-internet-activity-every-second-20130812
  • Asadoorian, M. O., ve Kantarelis, D., “Essentials of Inferential Statistics”, University Press of America, 2 (2005).
  • Nelles, O., “Nonlinear System Identification”, Springer, 2011.
  • Dean, J., ve Ghemawat, S., “MapReduce: Simplied Data Processing on Large Clusters”, Google, Inc., (2004).
  • White, T., “Hadoop: The Definitive Guide”, 3rd Edition, O’Reilly Media / Yahoo Press, (2012).
  • Gutermen, J, “Release 2.0 Issue:11 Big Data”, O’Reilly Media, Inc., 27 (2009).
  • Yöntem, H. E., “Büyük Veri ile Analitik Uygulamalar”, IBM Connected 2013, (2013).
  • (2013), Facebook Statistics. [Online]. http://www.statisticbrain.com/facebook-statistics/
  • (2013), LinkedIn. [Online]. http://en.wikipedia.org/wiki/LinkedIn
  • (2013), Predicting & Preventing Banking Customer Churn by Unlocking Big Data. [Online]. http://www.ngdata.com/predicting-preventing-banking-customer-churn-by-unlocking-big-data/
  • (2013), Consumers want banks to use big data, just don’t access their social profile: Report. [Online]. http://www.cmo.com.au/article/465904/consumers_want_banks_use_big_data_just_don_t_access_ their_social_profile_report/ Demirel, Y., “Müşteri İlişkileri Yönetimi ve Bilgi Paylaşımı”, IQ Kültür Sanat Yayıncılık, 157 (2006).
  • (2013), Should Your Call Center Collect Big Data?. [Online]. http://www.servion.com/americas/news/shouldyour- call-center-collect-big-data-aug1-2013.pdf
  • (2013), How Zions Bank Is Conquering Big Data for Marketing Campaigns. [Online]. http://www.americanbanker. com/issues/178_135/how-zions-bank-is-conquering-big-data-for-marketing-campaigns-1060603-1.html
  • (2013), Leveraging Big Data to Revolutionize Fraud Detection. [Online]. http://www.banktech.com/riskmanagement/ leveraging-big-data-to-revolutionize-fra/240158275
  • Vacca, J. R., “Biometric Technologies and Verification Systems”, Butterworth-Heinemann, 181 (2007).
  • Traore, I., ve Ahmed, A. A. E., “Continuous Authentication Using Biometrics: Data, Models, and Metrics”, Igi Global, (2011).
  • (2013), Using Big Data to Prevent Fraud. [Online]. http://www.bankinfosecurity.com/big-datas-tie-tofraud- prevention-a-6251/op-1
  • “Smarter digital banking with big data”, IBM Software White Paper, (2013).
  • (2013), How Zions Bank Is Conquering Big Data for Marketing Campaigns. [Online]. http://www.americanbanker. com/issues/178_135/how-zions-bank-is-conquering-big-data-for-marketing-campaigns-1060603-1.html
  • (2013), The Newest Banking Game-Changer: Your Data. [Online]. http://www.banktech.com/business-intelligence/ the-newest-banking-game-changer-your-dat/240164638
  • Wallace, T., F., “Customer-Driven Strategy: Winning Through Operational Excellence”, John Wiley & Sons, (1992)
  • (2013), Putting Big Data Principles to Work in Audit & Compliance. [Online]. http://www.complianceweek. com/putting-big-data-principles-to-work-in-audit-compliance/article/285964/
  • (2013), 3 of Banking’s Most Unusual Analytics Deployments. [Online]. http://www.banktech.com/businessintelligence/ 3-of-bankings-most-unusual-analytics-dep/228300278
There are 31 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Article
Authors

Fatih Şahin

Publication Date July 1, 2018
Submission Date July 1, 2018
Published in Issue Year 2018 Volume: 2 Issue: 1

Cite

APA Şahin, F. (2018). Big Data’s Implimentation Sample in Banking Sector/Bankacılık Sektöründe Büyük Verinin Uygulama Örneği. AURUM Journal of Engineering Systems and Architecture, 2(1), 1-10.
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